This research is devoted to understanding the effects of random perturbations on behavior of complex systems. Stochasticity abounds in physics, applied science and engineering, ranging from statistical mechanics, atmospheric science, materials engineering, oceanography and so on. There are typically various temporal or spatial scales involved in the system, and to understand the propagation of stochasticity through these scales and to control its overall impact is of crucial importance for many applications such as exploration geophysics, materials design, meteorology and weather forecasting. The main mathematical tool to model such multi-scale dynamical systems involving stochasticity is through partial differential equations (PDE) with rough random coefficients. The project aims at deriving simplified effective models of those PDE with rough random coefficients and exhibiting some general features of the mechanism of stochasticity propagation through complicated systems.

The proposed research is in the areas of stochastic homogenization, wave in random media, and stochastic PDE. The principle investigator plans to study (i) the random fluctuations in stochastic homogenization; (ii) the effective models of wave propagation in random media; (iii) the convergence to stochastic PDE beyond the homogenization regime and the statistical properties of some singular stochastic PDE. The study will involve tools from analysis, probability and numerical methods. The educational program includes the training of graduate and undergraduate students at the intersection of probability, analysis, and applications, and the goal is to introduce students the analytic and probabilistic tools which are indispensable for both the research and the STEM-related career development.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Application #
1907928
Program Officer
Victor Roytburd
Project Start
Project End
Budget Start
2019-06-01
Budget End
2022-05-31
Support Year
Fiscal Year
2019
Total Cost
$146,308
Indirect Cost
Name
Carnegie-Mellon University
Department
Type
DUNS #
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213